以便进行比较set_file1=set(file1)set_file2=set(file2)# 找出只在file1中存在的内容only_in_file1=set_file1-set_file2# 找出只在file2中存在的内容only_in_file2=set_file2-set_file1returnonly_in_file1,only_in_file2# 获取比较结果only_in_file1,only_in_file2=compare_files(file1_contents,...
print("Match:", match) print("Mismatch:", mismatch) print("Errors:", errors,"\n")# Compare the# contents of both files# (i.e deep comparison)match, mismatch, errors = filecmp.cmpfiles(dir1, dir2, common, shallow =False)# Print the result of# deep comparisonprint("Deep comparison:"...
file_old= file_path[0] + f'\\{old[i]}'file_new= file_path[1] + f'\\{old[i]}'results=md5_check(file_old, file_new)ifresults: p.apply_async(compare_file, args=(file_old, file_new, ))else: report_html.append(file_old.split('\\')[-1].replace('.txt','.txt.html')) ...
The fact that None is a singleton allows you to compare for None using the is keyword, like you did when creating decorators with optional arguments: Python if _func is None: return decorator_name else: return decorator_name(_func) Using is returns True only for objects that are the ...
9-universal2-cpython-39/src/pyaudio clang -Wno-unused-result -Wsign-compare -Wunreachable...
元组是不可变的序列,通常用于存储异构数据。 Tuples are immutable sequences typically used to store heterogeneous data. 查看元组的最佳方式是将其作为一个由多个不同部分组成的单个对象。 The best way to view tuples is as a single object that consists of several different parts. 元组在编程中有很多用途...
The specialized function (named lookdict_unicode in CPython's source) knows all existing keys (including the looked-up key) are strings, and uses the faster & simpler string comparison to compare keys, instead of calling the __eq__ method. The first time a dict instance is accessed with ...
因为它只对你的操作系统有要求,比如 Windows 上编译的动态库是 .dll 文件,Linux 上编译的动态库是 .so 文件,只要操作系统一致,那么任何提供了 ctypes 模块的 Python 解释器都可以调用。这种方式的使用场景是 Python 和 C / C++ 不需要做太多的交互,比如嵌入式设备,可能只是简单调用底层驱动提供的某个接口而已。
You can also cross compare the results with another version ofuncompyle6since there are sometimes regressions in decompiling specific bytecode as the overall quality improves. For Python 3.7 and 3.8, the code indecompyle3is generally better. ...
The inclusion of the package contents needs to be provided manually; otherwise, the package is mostly empty. You can be more specific if you like, and only include part of it, or exclude part of it, e.g. with--nofollow-import-to='*.tests'you would not include the unused test part ...